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I have limited experience on FPGA programming, but I am thinking if you could translate a Tensorflow model (or part of it) using XLA TO FPGA bytecode and get a
by fabmilo 9y ago
I have limited experience on FPGA programming, but I am thinking if you could translate a Tensorflow model (or part of it) using XLA TO FPGA bytecode and get a serious speed up compared to using GPUs.
- jacquesm 9y agoYou might be able to create something along the lines of Google's TPU in a large enough FPGA (with a large enough memory bank attached), but it would cost a small fortune to run, likely not enough benefit to rent a GPU instance instead. But it would be very interesting to see how far that could be pushed and what side models could be run on it. GPUs are hard to beat on price, and the only reason Google made the TPU in the first place is because it is an ASIC, which has a much better price/performance ratio (once you make enough of them) than either a GPU or an FPGA, at the cost of not being able to change the design easily.
- alain94040 9y agoMipso (http://mipsology.com/aws/ http://mipsology.com/aws/) says they support Caffe, MXNET, TensorFlow on AWS F1.